Accepted for Publication: April 12, 2020.
Published: May 6, 2020. doi:10.1001/jamanetworkopen.2020.8297
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Li R et al. JAMA Network Open.
Corresponding Author: Ruoran Li, MPhil, Harvard T.H. Chan School of Public Health, Center for Communicable Disease Dynamics, Department of Epidemiology, 677 Huntington Ave, Boston, MA 02115 (rul612@mail.harvard.edu).
Author Contributions: Ms Li had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Li, Rivers, Toner, Lipsitch.
Acquisition, analysis, or interpretation of data: Li, Tan, Murray, Toner.
Drafting of the manuscript: Li.
Critical revision of the manuscript for important intellectual content: Rivers, Tan, Murray, Toner, Lipsitch.
Statistical analysis: Li, Tan.
Obtained funding: Murray, Lipsitch.
Administrative, technical, or material support: Rivers, Tan.
Supervision: Murray, Toner, Lipsitch.
Conflict of Interest Disclosures: Ms Li reported receiving grants from Harvard University outside the submitted work. Dr Lipsitch reported personal fees from Merck outside the submitted work. No other disclosures were reported.
Funding/Support: Dr Lipsitch was supported by award number U54GM088558 from the National Institute of General Medical Sciences, award number CK000538-01 from the Centers for Disease Control and Prevention co-op agreement, and a gift from the Morris-Singer Fund.
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The views expressed in this article are those of the authors and do not necessarily represent the official views of the National Institute of General Medical Sciences, the National Institutes of Health, or the Centers for Disease Control and Prevention.
Additional Contributions: We thank the entire Center for Communicable Disease Dynamics team for providing a supportive environment for this work. Helen Jenkins, PhD (Boston University), provided critical feedback on data visualization. She was not compensated for her time. Ms Li thanks her fellow doctoral students for their support.
1.Wu
Z , McGoogan
JM . Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention.
JAMA. 2020;323(13):1239-1242. doi:
10.1001/jama.2020.2648PubMedGoogle Scholar 6.Berger
ML , Mamdani
M , Atkins
D , Johnson
ML . Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task Force Report—Part I.
Value Health. 2009;12(8):1044-1052. doi:
10.1111/j.1524-4733.2009.00600.xPubMedGoogle Scholar 16.Carr
BG , Addyson
DK , Kahn
JM . Variation in critical care beds per capita in the United States: implications for pandemic and disaster planning.
JAMA. 2010;303(14):1371-1372. doi:
10.1001/jama.2010.394PubMedGoogle Scholar 21.Bouadma
L , Lescure
F-X , Lucet
J-C , Yazdanpanah
Y , Timsit
J-F . Severe SARS-CoV-2 infections: practical considerations and management strategy for intensivists.
Intensive Care Med. 2020;46(4):579-582. doi:
10.1007/s00134-020-05967-xPubMedGoogle Scholar 22.Sanche
S , Lin
YT , Xu
C , Romero-Severson
E , Hengartner
N , Ke
R . The novel coronavirus, 2019-nCoV, is highly contagious and more infectious than initially estimated. medRxiv. 2020. doi:
10.1101/2020.02.07.20021154 23.Hatchett
RJ , Mecher
CE , Lipsitch
M . Public health interventions and epidemic intensity during the 1918 influenza pandemic.
Proc Natl Acad Sci U S A. 2007;104(18):7582-7587. doi:
10.1073/pnas.0610941104PubMedGoogle Scholar 26.Kraemer
MUG , Yang
CH , Gutierrez
B ,
et al; Open COVID-19 Data Working Group. The effect of human mobility and control measures on the COVID-19 epidemic in China.
Science. 2020;eabb4218. doi:
10.1126/science.abb4218PubMedGoogle Scholar